Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Dynamic Gesture Recognition Using a Smart Glove in Hand-Assisted Laparoscopic Surgery

Lidia Santos
* ,
Nicola Carbonaro
,
Alessandro Tognetti
ORCID logo ,
José Luis González
,
Eusebio de la Fuente
,
Juan Carlos Fraile
ORCID logo ,
Javier Pérez-Turiel
ORCID logo
Version 1 : Received: 1 December 2017 / Approved: 1 December 2017 / Online: 1 December 2017 (16:32:22 CET)

A peer-reviewed article of this Preprint also exists.

Santos, L.; Carbonaro, N.; Tognetti, A.; González, J.L.; de la Fuente, E.; Fraile, J.C.; Pérez-Turiel, J. Dynamic Gesture Recognition Using a Smart Glove in Hand-Assisted Laparoscopic Surgery. Technologies 2018, 6, 8. Santos, L.; Carbonaro, N.; Tognetti, A.; González, J.L.; de la Fuente, E.; Fraile, J.C.; Pérez-Turiel, J. Dynamic Gesture Recognition Using a Smart Glove in Hand-Assisted Laparoscopic Surgery. Technologies 2018, 6, 8.

Abstract

This paper presents a system developed for the assistance with a collaborative robot in hand-assisted laparoscopic surgery (HALS). The system includes a sensing glove with piezoresistive sensors which capture continuously the flexion degree of the surgeon's fingers. These data are analyzed using an algorithm that detects and recognize the selected movements. This information is sent as commands to the collaborative robot throughout the surgical operation. The bending patterns, speed and execution times of the movements are modelled in a pre-phase in which it will extract all the necessary information for later detection during the motion execution. The results obtained with 10 different volunteers show a high degree of accuracy and a low false discovery rate.

Keywords

Hand Assisted Laparoscopic Surgery (HALS); sensing glove; wearable; collaborative surgical robot, gesture recognition.

Subject

Engineering, Automotive Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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